Swift

Integrating Python-based machine learning models into iOS applications can be challenging, particularly when converting models into a Swift-compatible format. This example will demonstrate a simple image classification task using the Fashion-MNIST dataset and CoreML conversion tools. The goal is to illustrate the effort required to deploy small-to-medium complexity ML models within iOS applications. The demonstration is based on a Convolutional Neural Network (CNN) built with PyTorch, but the concepts apply broadly to other Python-based models as well. ...

Why Swift? Data science is dominated by Python and R, with some usage of Julia, Scala, Java, and C++. While Swift may not be the most popular choice, it offers several notable benefits—especially for developers already invested in the Apple ecosystem. Key Advantages Performance Considerations As a compiled language, Swift often runs faster than languages like Python or R. This can be especially beneficial when handling large datasets or complex computations. ...